Use when you have a written implementation plan to execute in a separate session with review checkpoints
npx skills add GregTheGreek/claude-obsidian --skill "clean-interviews"
Install specific skill from multi-skill repository
# Description
Clean up user interviews in Research/User interviews/, add frontmatter tags, standardize structure, and aggregate insights into the research dashboard.
# SKILL.md
name: clean-interviews
description: Clean up user interviews in Research/User interviews/, add frontmatter tags, standardize structure, and aggregate insights into the research dashboard.
allowed-tools: Read, Bash, Edit, Glob, Grep
Clean Interviews
Processes user interviews in ~/obsidian/Research/User interviews/, standardizes their format, adds tags, and aggregates insights into the research dashboard.
When to Use
- After conducting user interviews
- When interview files need standardization
- To aggregate interview insights across projects
- When preparing interview data for analysis
Workflow
1. Scan Interview Files
Find all interview files:
find ~/obsidian/Research/User\ interviews -name "*.md" -type f
Note the directory structure - interviews are organized by project (e.g., Project-A/, Project-B/).
2. Read Current Dashboard
cat ~/obsidian/research-dashboard.md
Check if "User Interview Insights" section exists.
3. Process Each Interview File
For each interview file:
a) Read the file to understand current content
b) Add YAML frontmatter if missing:
---
tags:
- interview
- [project-name]
interviewee: Name
date: YYYY-MM-DD
project: Project Name
signal: strong | moderate | weak
action-items:
- "Intro to [Contact] at [Company]"
- "Follow up on [specific topic]"
---
Note: action-items is optional - only include if there are genuinely important actions from this interview. See "Action Item Criteria" section below.
c) Restructure content into standard sections:
## Summary
One-paragraph synthesis of the interview
## Key Insights
- Bullet points of main takeaways
## Pain Points
- Problems the interviewee faces
## Quotes
> Direct quotes worth preserving
## Follow-ups
- Action items or questions for next time
d) Preserve original content - reorganize, don't delete
4. Determine Signal Strength
Apply these criteria:
Strong Signal:
- Explicit willingness/commitment ("I would definitely use this")
- Quantified usage metrics specific to their domain
- Current paid solution they would switch from
- Specific problems that match our solution
Moderate Signal:
- Interest expressed but conditional
- Some relevant problems, some not
- Unclear on willingness to pay or switch
- General positive sentiment without commitment
Weak Signal:
- Polite interest but no clear need
- Problems do not align with our solution
- Low usage/engagement in relevant areas
- Blockers (jurisdiction, technical, organizational)
5. Archive Dashboard (if updating)
If dashboard will be updated, run archive first:
bash ~/.claude/scripts/archive-dashboard.sh
6. Aggregate Interview Insights
Count interviews by:
- Project (directory name)
- Signal strength
Summarize key takeaways per project.
7. Update Research Dashboard
Add or update "User Interview Insights" section after "Latest Research Documents":
## User Interview Insights
**Total Interviews:** X | **Strong:** Y | **Moderate:** Z | **Weak:** W
### By Project
- **Project-A:** X interviews - [key aggregated takeaway]
- **Project-B:** X interviews - [key aggregated takeaway]
### Recent Interviews
- [[Research/User interviews/Project-A/Jane Doe|Jane Doe]] - Strong, target user interested in product
8. Verify
- All interview files have YAML frontmatter
- All files have standard sections
- Dashboard has interview insights section
- Tags work in Obsidian (#interview)
Interview Template
When processing interviews, structure them as:
---
tags:
- interview
- project-a
interviewee: Jane Doe
date: 2026-01-15
project: Project-A
signal: strong
---
## Summary
One-paragraph synthesis capturing who they are, what they need, and key signals.
## Key Insights
- Insight 1
- Insight 2
## Pain Points
- Pain point 1
- Pain point 2
## Quotes
> "Direct quote that captures something important"
## Follow-ups
- Action item or question
Action Item Criteria
Action items in frontmatter are for genuinely important tasks that should surface on the daily dashboard. Most interviews won't have any.
Include (Important - Surface to Dashboard)
- Introductions: "Can intro to [Person] at [Company]" - warm intros are high-value
- Follow-up calls/meetings: Scheduled or promised follow-ups with the interviewee
- Partner/vendor investigation: Specific companies or tools mentioned worth investigating
- Critical product decisions: Feature requests that came with strong signal and affect architecture
- Urgent blockers: Regulatory, legal, or technical issues that need immediate attention
Exclude (Keep in Follow-ups Section Only)
- General "look into X" observations
- Minor UX suggestions
- Feature ideas without strong signal
- Vague "might be interesting" items
- Things already on the roadmap
- Research that's nice-to-have, not blocking
Examples
Include:
action-items:
- "Intro to [Partner] (via [Contact]) - partner opportunity"
- "Investigate [Vendor] integration for risk management"
- "Follow-up call with [Contact] re: [Feature] threshold feature"
Don't Include:
- "Think about rewards structure" (too vague)
- "Consider better FX handling" (product backlog, not action item)
- "Research stETH safety" (general research, not urgent)
Rule of Thumb
Ask: "Would I forget this and regret it?" If yes, it's an action item. If it's just useful context, leave it in the Follow-ups section only.
Signal Tagging Guidelines
Strong
- Explicit "I would use this" or "I would pay for this"
- Currently using competitors and unhappy
- Quantified spending patterns (monthly card spend, holdings)
- Clear problem-solution fit
Moderate
- "This sounds interesting" without commitment
- Some problems align, others don't
- Unclear on pricing sensitivity
- Would need to see it working first
Weak
- Polite but non-committal
- Problems don't match solution
- Jurisdiction/regulatory blockers
- Low target market fit (small spender, no crypto holdings)
Important Notes
- Preserve original content - restructure, don't delete information
- Be conservative with signal strength - default to moderate if unclear
- Use project directory name as the project tag (lowercase)
- Date format: YYYY-MM-DD (ISO 8601)
- Link format: Obsidian wikilinks with display text
Paths Reference
- Interview root:
~/obsidian/Research/User interviews/ - Dashboard:
~/obsidian/research-dashboard.md - Archive script:
~/.claude/scripts/archive-dashboard.sh
Note: Paths can be customized in ~/.claude/config/paths.env
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.